1

Vision Engineer Jobs in Arizona (NOW HIRING)

Description Wilson Engineers is a respected Arizona-based consulting firm delivering innovative ... Vision Plan * Dental Plan * Group Life Insurance * Short Term Disability * Long Term Disability

Description Wilson Engineers is a respected Arizona-based consulting firm delivering innovative ... Vision Plan * Dental Plan * Group Life Insurance * Short Term Disability * Long Term Disability

next page

Showing results 1-20

Vision Engineer information

See Arizona salary details

$35.4K

$108K

$178.5K

How much do vision engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for vision engineer in Arizona is $107,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,300.00 and $141,200.00 per year, depending on experience, location, and employer.

What does a vision engineer do?

A vision engineer designs, develops, and tests computer vision systems and algorithms used in applications like robotics, autonomous vehicles, and image processing. They work with tools such as MATLAB, OpenCV, and machine learning frameworks, often requiring knowledge of programming, image analysis, and system integration.

What is the difference between Vision Engineer vs Computer Vision Engineer?

AspectVision EngineerComputer Vision Engineer
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; experience with image processing and sensor integrationBachelor's or higher in computer science, AI, or related fields; strong programming skills in Python, C++, and experience with machine learning
Work EnvironmentResearch labs, robotics companies, manufacturing, automotiveTech companies, AI startups, robotics, healthcare imaging
Industry UsageUsed in robotics, automation, and sensor systemsApplied in AI, autonomous vehicles, medical imaging, and surveillance

While both roles focus on visual data, a Vision Engineer typically works on integrating sensors and hardware for vision systems, whereas a Computer Vision Engineer develops algorithms and software for interpreting visual data. The roles often overlap but differ mainly in hardware versus software focus.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing, particularly in large tech companies or energy firms.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized AI firms with competitive compensation packages.

What jobs pay $400 an hour?

In the field of vision engineering, highly specialized roles such as senior research scientists, lead optical engineers, or consultants with advanced expertise in computer vision, machine learning, and optical systems can command hourly rates of $400 or more. These positions often require advanced degrees, extensive experience, and work on complex projects or consulting contracts. Such high pay is typically associated with freelance consulting, specialized contract work, or senior-level roles in research and development environments.

How does a Vision Engineer typically collaborate with other engineering teams during a project?

Vision Engineers often work closely with software developers, hardware engineers, and data scientists to integrate computer vision solutions into larger systems. Collaboration usually involves sharing specifications, aligning on data formats, and frequent meetings to ensure seamless interaction between visual algorithms and system hardware or applications. Effective communication and cross-disciplinary teamwork are essential, as vision models must be optimized for real-time performance and reliability within the constraints of the broader product.

What are the key skills and qualifications needed to thrive as a Vision Engineer, and why are they important?

To thrive as a Vision Engineer, you need a strong background in computer vision, image processing, and programming languages such as Python or C++, often supported by a degree in computer science, electrical engineering, or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), OpenCV, and experience with camera systems or embedded hardware are typically required. Analytical thinking, problem-solving, and the ability to communicate complex technical concepts clearly are standout soft skills. These abilities are crucial for developing robust vision solutions that drive innovation in industries such as robotics, automotive, and manufacturing.

What are Vision Engineers?

Vision Engineers are professionals who design, develop, and implement computer vision systems that enable machines to interpret and understand visual information from the world. They work with image and video processing algorithms, deep learning models, and hardware such as cameras and sensors to solve problems in areas like robotics, autonomous vehicles, and quality inspection. Vision Engineers often collaborate with software developers, data scientists, and hardware engineers to create solutions that can recognize objects, track movements, or analyze scenes automatically.
What are popular job titles related to Vision Engineer jobs in Arizona? For Vision Engineer jobs in Arizona, the most frequently searched job titles are:
Infographic showing various Vision Engineer job openings in Arizona as of June 2026, with employment types broken down into 78% Full Time, 16% Part Time, and 6% Contract. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution, with an average salary of $107,973 per year, or $51.9 per hour.
AI/ML Engineer - Computer Vision

AI/ML Engineer - Computer Vision

Prime Solutions Group, Inc.

Phoenix, AZ • On-site, Remote

$110K/yr

Other

Posted 13 days ago


Job description

AI/ML Computer Vision Engineer

Prime Solutions Group (PSG), Inc. is seeking an experienced AI/ML Computer Vision Engineer to design, develop, and deploy advanced computer vision and machine learning solutions supporting mission-critical national security programs.

In this role, you will work at the forefront of artificial intelligence, applying state-of-the-art deep learning techniques to challenging real-world problems involving image, video, and sensor data. You will be responsible for developing and optimizing machine learning models, conducting experimentation, improving model performance, and transitioning AI capabilities into operational environments.

This position is ideal for engineers who enjoy solving complex technical challenges, working with large-scale datasets, and turning cutting-edge research into production-ready solutions.

Responsibilities Include:
  • Design, develop, train, and deploy machine learning and computer vision models for real-world mission applications.
  • Build and optimize deep learning architectures, including CNNs, Vision Transformers (ViTs), and hybrid AI/ML models.
  • Perform hyperparameter tuning, model optimization, and performance evaluation to improve accuracy, robustness, and efficiency.
  • Develop and maintain training, validation, testing, and inference pipelines for AI/ML systems.
  • Analyze model performance, identify failure modes, and implement improvements to increase reliability and generalization.
  • Work with large image, video, and sensor datasets to support object detection, classification, segmentation, tracking, and anomaly detection tasks.
  • Collaborate with software engineers and MLOps teams to integrate models into production environments.
  • Evaluate emerging AI technologies and recommend new approaches that improve mission outcomes.
  • Create technical documentation, experiment reports, and performance assessments.
  • Support technical reviews, customer briefings, and cross-functional engineering efforts.
Requirements
  • U.S. Citizenship
  • Active Top-Secret Clearance with eligibility to obtain an SCI with CI Poly
  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, Applied Mathematics, or a related technical field.
  • 4+ years of experience developing AI/ML solutions in production, research, or applied engineering environments.
  • Proven experience delivering models using Python and ML frameworks (TensorFlow, PyTorch, Keras, etc.).
  • Experience training and evaluating machine learning models using large datasets.
  • Experience developing and training computer vision models using deep learning techniques.
  • Familiarity with CNNs, Vision Transformers, object detection, classification, and segmentation.
  • Experience with model tuning, hyperparameter optimization, and performance evaluation.
  • Strong understanding of computer vision fundamentals and image analysis techniques.
  • Ability to improve model accuracy, robustness, and operational performance.
  • Familiarity with software engineering best practices, Git, and collaborative development workflows.
Preferred Skills or Experience:
  • Experience with generative AI technologies, including diffusion models and image generation systems.
  • Familiarity with Vision-Language Models (VLMs), multimodal AI, Large Vision Models (LVMs), and Retrieval-Augmented Generation (RAG).
  • Experience with object tracking, multi-object tracking, or video analytics.
  • Experience applying computer vision techniques to imagery, remote sensing, or sensor-based data.
  • Familiarity with reinforcement learning or autonomous systems.
  • Experience with MLOps tools and practices, including Docker, Kubernetes, MLflow, Airflow, and CI/CD pipelines.
  • Experience deploying AI/ML solutions in AWS, Azure, or Google Cloud environments.
  • Experience supporting defense, intelligence, aerospace, or other mission-critical programs.

At PSG, you'll work on challenging AI problems that directly support national security missions. You'll have the opportunity to collaborate with highly skilled engineers and researchers while helping shape the next generation of intelligent sensing, computer vision, and AI-enabled systems.

We offer:

  • Competitive compensation and benefits
  • Professional development and tuition assistance
  • Flexible and collaborative engineering culture
  • Exposure to cutting-edge AI/ML technologies
  • Direct impact on mission-critical programs
  • Opportunities to grow into technical leadership roles

Bring your passion for AI, computer vision, and machine learning to PSG and help build the next generation of intelligent mission systems.

Salary range starts at $110,000 with the potential for higher compensation based on experience, skills, and mission needs.